EDA Report

Brought to you by YData

Dataset statistics

Number of variables	16
Number of observations	1000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	610.2 KiB
Average record size in memory	624.9 B

Variable types

Text	1
Categorical	7
Numeric	6
Unsupported	2

Alerts

`gross margin percentage` has constant value "4.761904762"	Constant
`Branch` is highly overall correlated with `City`	High correlation
`City` is highly overall correlated with `Branch`	High correlation
`Quantity` is highly overall correlated with `Sales` and 2 other fields	High correlation
`Sales` is highly overall correlated with `Quantity` and 3 other fields	High correlation
`Unit price` is highly overall correlated with `Sales` and 2 other fields	High correlation
`cogs` is highly overall correlated with `Quantity` and 3 other fields	High correlation
`gross income` is highly overall correlated with `Quantity` and 3 other fields	High correlation
`Invoice ID` has unique values	Unique
`Date` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Time` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2025-09-03 23:54:30.835024
Analysis finished	2025-09-03 23:54:36.739532
Duration	5.9 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Invoice ID
Text

Unique

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	66.5 KiB

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	11000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1000 ?
Unique (%)	100.0%

Sample

1st row	750-67-8428
2nd row	226-31-3081
3rd row	631-41-3108
4th row	123-19-1176
5th row	373-73-7910

Value	Count	Frequency (%)
665-32-9167	1	0.1%
849-09-3807	1	0.1%
750-67-8428	1	0.1%
226-31-3081	1	0.1%
631-41-3108	1	0.1%
123-19-1176	1	0.1%
373-73-7910	1	0.1%
699-14-3026	1	0.1%
189-40-5216	1	0.1%
374-38-5555	1	0.1%
Other values (990)	990	99.0%

Most occurring characters

Value	Count	Frequency (%)
-	2000	18.2%
2	957	8.7%
6	954	8.7%
1	950	8.6%
8	944	8.6%
5	927	8.4%
4	918	8.3%
3	909	8.3%
7	895	8.1%
0	809	7.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	2000	18.2%
2	957	8.7%
6	954	8.7%
1	950	8.6%
8	944	8.6%
5	927	8.4%
4	918	8.3%
3	909	8.3%
7	895	8.1%
0	809	7.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	2000	18.2%
2	957	8.7%
6	954	8.7%
1	950	8.6%
8	944	8.6%
5	927	8.4%
4	918	8.3%
3	909	8.3%
7	895	8.1%
0	809	7.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	2000	18.2%
2	957	8.7%
6	954	8.7%
1	950	8.6%
8	944	8.6%
5	927	8.4%
4	918	8.3%
3	909	8.3%
7	895	8.1%
0	809	7.4%

Branch
Categorical

High correlation

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	60.0 KiB

Alex	340
Cairo	332
Giza	328

Length

Max length	5
Median length	4
Mean length	4.332
Min length	4

Characters and Unicode

Total characters	4332
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Alex
2nd row	Giza
3rd row	Alex
4th row	Alex
5th row	Alex

Common Values

Value	Count	Frequency (%)
Alex	340	34.0%
Cairo	332	33.2%
Giza	328	32.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
alex	340	34.0%
cairo	332	33.2%
giza	328	32.8%

Most occurring characters

Value	Count	Frequency (%)
i	660	15.2%
a	660	15.2%
A	340	7.8%
e	340	7.8%
l	340	7.8%
x	340	7.8%
C	332	7.7%
r	332	7.7%
o	332	7.7%
G	328	7.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4332	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	660	15.2%
a	660	15.2%
A	340	7.8%
e	340	7.8%
l	340	7.8%
x	340	7.8%
C	332	7.7%
r	332	7.7%
o	332	7.7%
G	328	7.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4332	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	660	15.2%
a	660	15.2%
A	340	7.8%
e	340	7.8%
l	340	7.8%
x	340	7.8%
C	332	7.7%
r	332	7.7%
o	332	7.7%
G	328	7.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4332	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	660	15.2%
a	660	15.2%
A	340	7.8%
e	340	7.8%
l	340	7.8%
x	340	7.8%
C	332	7.7%
r	332	7.7%
o	332	7.7%
G	328	7.6%

City
Categorical

High correlation

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	63.3 KiB

Yangon	340
Mandalay	332
Naypyitaw	328

Length

Max length	9
Median length	8
Mean length	7.648
Min length	6

Characters and Unicode

Total characters	7648
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yangon
2nd row	Naypyitaw
3rd row	Yangon
4th row	Yangon
5th row	Yangon

Common Values

Value	Count	Frequency (%)
Yangon	340	34.0%
Mandalay	332	33.2%
Naypyitaw	328	32.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yangon	340	34.0%
mandalay	332	33.2%
naypyitaw	328	32.8%

Most occurring characters

Value	Count	Frequency (%)
a	1992	26.0%
n	1012	13.2%
y	988	12.9%
Y	340	4.4%
o	340	4.4%
g	340	4.4%
M	332	4.3%
d	332	4.3%
l	332	4.3%
N	328	4.3%
Other values (4)	1312	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7648	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1992	26.0%
n	1012	13.2%
y	988	12.9%
Y	340	4.4%
o	340	4.4%
g	340	4.4%
M	332	4.3%
d	332	4.3%
l	332	4.3%
N	328	4.3%
Other values (4)	1312	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7648	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1992	26.0%
n	1012	13.2%
y	988	12.9%
Y	340	4.4%
o	340	4.4%
g	340	4.4%
M	332	4.3%
d	332	4.3%
l	332	4.3%
N	328	4.3%
Other values (4)	1312	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7648	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1992	26.0%
n	1012	13.2%
y	988	12.9%
Y	340	4.4%
o	340	4.4%
g	340	4.4%
M	332	4.3%
d	332	4.3%
l	332	4.3%
N	328	4.3%
Other values (4)	1312	17.2%

Customer type
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	61.7 KiB

Member	565
Normal	435

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	6000
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Member
2nd row	Normal
3rd row	Normal
4th row	Member
5th row	Member

Common Values

Value	Count	Frequency (%)
Member	565	56.5%
Normal	435	43.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
member	565	56.5%
normal	435	43.5%

Most occurring characters

Value	Count	Frequency (%)
e	1130	18.8%
r	1000	16.7%
m	1000	16.7%
M	565	9.4%
b	565	9.4%
N	435	7.2%
o	435	7.2%
a	435	7.2%
l	435	7.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1130	18.8%
r	1000	16.7%
m	1000	16.7%
M	565	9.4%
b	565	9.4%
N	435	7.2%
o	435	7.2%
a	435	7.2%
l	435	7.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1130	18.8%
r	1000	16.7%
m	1000	16.7%
M	565	9.4%
b	565	9.4%
N	435	7.2%
o	435	7.2%
a	435	7.2%
l	435	7.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1130	18.8%
r	1000	16.7%
m	1000	16.7%
M	565	9.4%
b	565	9.4%
N	435	7.2%
o	435	7.2%
a	435	7.2%
l	435	7.2%

Gender
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	60.8 KiB

Female	571
Male	429

Length

Max length	6
Median length	6
Mean length	5.142
Min length	4

Characters and Unicode

Total characters	5142
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	571	57.1%
Male	429	42.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	571	57.1%
male	429	42.9%

Most occurring characters

Value	Count	Frequency (%)
e	1571	30.6%
a	1000	19.4%
l	1000	19.4%
F	571	11.1%
m	571	11.1%
M	429	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5142	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1571	30.6%
a	1000	19.4%
l	1000	19.4%
F	571	11.1%
m	571	11.1%
M	429	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5142	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1571	30.6%
a	1000	19.4%
l	1000	19.4%
F	571	11.1%
m	571	11.1%
M	429	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5142	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1571	30.6%
a	1000	19.4%
l	1000	19.4%
F	571	11.1%
m	571	11.1%
M	429	8.3%

Product line
Categorical

Distinct	6
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	73.9 KiB

Fashion accessories	178
Food and beverages	174
Electronic accessories	170
Sports and travel	166
Home and lifestyle	160

Length

Max length	22
Median length	19
Mean length	18.54
Min length	17

Characters and Unicode

Total characters	18540
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Health and beauty
2nd row	Electronic accessories
3rd row	Home and lifestyle
4th row	Health and beauty
5th row	Sports and travel

Common Values

Value	Count	Frequency (%)
Fashion accessories	178	17.8%
Food and beverages	174	17.4%
Electronic accessories	170	17.0%
Sports and travel	166	16.6%
Home and lifestyle	160	16.0%
Health and beauty	152	15.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
and	652	24.6%
accessories	348	13.1%
fashion	178	6.7%
food	174	6.6%
beverages	174	6.6%
electronic	170	6.4%
sports	166	6.3%
travel	166	6.3%
home	160	6.0%
lifestyle	160	6.0%
Other values (2)	304	11.5%

Most occurring characters

Value	Count	Frequency (%)
e	2338	12.6%
a	1822	9.8%
s	1722	9.3%
	1652	8.9%
o	1370	7.4%
c	1036	5.6%
r	1024	5.5%
n	1000	5.4%
t	966	5.2%
i	856	4.6%
Other values (15)	4754	25.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18540	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2338	12.6%
a	1822	9.8%
s	1722	9.3%
	1652	8.9%
o	1370	7.4%
c	1036	5.6%
r	1024	5.5%
n	1000	5.4%
t	966	5.2%
i	856	4.6%
Other values (15)	4754	25.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18540	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2338	12.6%
a	1822	9.8%
s	1722	9.3%
	1652	8.9%
o	1370	7.4%
c	1036	5.6%
r	1024	5.5%
n	1000	5.4%
t	966	5.2%
i	856	4.6%
Other values (15)	4754	25.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18540	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2338	12.6%
a	1822	9.8%
s	1722	9.3%
	1652	8.9%
o	1370	7.4%
c	1036	5.6%
r	1024	5.5%
n	1000	5.4%
t	966	5.2%
i	856	4.6%
Other values (15)	4754	25.6%

Unit price
Real number (ℝ)

High correlation

Distinct	943
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.67213

Minimum	10.08
Maximum	99.96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	10.08
5-th percentile	15.279
Q1	32.875
median	55.23
Q3	77.935
95-th percentile	97.222
Maximum	99.96
Range	89.88
Interquartile range (IQR)	45.06

Descriptive statistics

Standard deviation	26.494628
Coefficient of variation (CV)	0.4759047
Kurtosis	-1.2185914
Mean	55.67213
Median Absolute Deviation (MAD)	22.505
Skewness	0.0070774479
Sum	55672.13
Variance	701.96533
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
83.77	3	0.3%
98.7	2	0.2%
38.6	2	0.2%
93.96	2	0.2%
84.05	2	0.2%
20.01	2	0.2%
21.12	2	0.2%
32.32	2	0.2%
15.5	2	0.2%
99.96	2	0.2%
Other values (933)	979	97.9%

Value	Count	Frequency (%)
10.08	1	0.1%
10.13	1	0.1%
10.16	1	0.1%
10.17	1	0.1%
10.18	1	0.1%
10.53	1	0.1%
10.56	1	0.1%
10.59	1	0.1%
10.69	1	0.1%
10.75	1	0.1%

Value	Count	Frequency (%)
99.96	2	0.2%
99.92	1	0.1%
99.89	1	0.1%
99.83	1	0.1%
99.82	2	0.2%
99.79	1	0.1%
99.78	1	0.1%
99.73	1	0.1%
99.71	1	0.1%
99.7	1	0.1%

Quantity
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.51

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.9234306
Coefficient of variation (CV)	0.53056817
Kurtosis	-1.2155472
Mean	5.51
Median Absolute Deviation (MAD)	2
Skewness	0.012941048
Sum	5510
Variance	8.5464464
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
10	119	11.9%
1	112	11.2%
4	109	10.9%
7	102	10.2%
5	102	10.2%
6	98	9.8%
9	92	9.2%
2	91	9.1%
3	90	9.0%
8	85	8.5%

Value	Count	Frequency (%)
1	112	11.2%
2	91	9.1%
3	90	9.0%
4	109	10.9%
5	102	10.2%
6	98	9.8%
7	102	10.2%
8	85	8.5%
9	92	9.2%
10	119	11.9%

Value	Count	Frequency (%)
10	119	11.9%
9	92	9.2%
8	85	8.5%
7	102	10.2%
6	98	9.8%
5	102	10.2%
4	109	10.9%
3	90	9.0%
2	91	9.1%
1	112	11.2%

Sales
Real number (ℝ)

High correlation

Distinct	990
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	322.96675

Minimum	10.6785
Maximum	1042.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	10.6785
5-th percentile	41.070225
Q1	124.42238
median	253.848
Q3	471.35025
95-th percentile	822.4965
Maximum	1042.65
Range	1031.9715
Interquartile range (IQR)	346.92787

Descriptive statistics

Standard deviation	245.88534
Coefficient of variation (CV)	0.76133328
Kurtosis	-0.081884758
Mean	322.96675
Median Absolute Deviation (MAD)	157.68375
Skewness	0.8925698
Sum	322966.75
Variance	60459.598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
217.6335	2	0.2%
829.08	2	0.2%
263.97	2	0.2%
216.846	2	0.2%
276.948	2	0.2%
189.0945	2	0.2%
87.234	2	0.2%
175.917	2	0.2%
470.988	2	0.2%
93.744	2	0.2%
Other values (980)	980	98.0%

Value	Count	Frequency (%)
10.6785	1	0.1%
12.6945	1	0.1%
13.167	1	0.1%
13.419	1	0.1%
14.679	1	0.1%
16.107	1	0.1%
16.2015	1	0.1%
16.275	1	0.1%
17.094	1	0.1%
18.6375	1	0.1%

Value	Count	Frequency (%)
1042.65	1	0.1%
1039.29	1	0.1%
1034.46	1	0.1%
1023.75	1	0.1%
1022.49	1	0.1%
1022.385	1	0.1%
1020.705	1	0.1%
1003.59	1	0.1%
1002.12	1	0.1%
951.825	1	0.1%

Date
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	60.5 KiB

Time
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	47.0 KiB

Payment
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	62.8 KiB

Ewallet	345
Cash	344
Credit card	311

Length

Max length	11
Median length	7
Mean length	7.212
Min length	4

Characters and Unicode

Total characters	7212
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ewallet
2nd row	Cash
3rd row	Credit card
4th row	Ewallet
5th row	Ewallet

Common Values

Value	Count	Frequency (%)
Ewallet	345	34.5%
Cash	344	34.4%
Credit card	311	31.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ewallet	345	26.3%
cash	344	26.2%
credit	311	23.7%
card	311	23.7%

Most occurring characters

Value	Count	Frequency (%)
a	1000	13.9%
l	690	9.6%
e	656	9.1%
t	656	9.1%
C	655	9.1%
r	622	8.6%
d	622	8.6%
w	345	4.8%
E	345	4.8%
s	344	4.8%
Other values (4)	1277	17.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7212	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1000	13.9%
l	690	9.6%
e	656	9.1%
t	656	9.1%
C	655	9.1%
r	622	8.6%
d	622	8.6%
w	345	4.8%
E	345	4.8%
s	344	4.8%
Other values (4)	1277	17.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7212	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1000	13.9%
l	690	9.6%
e	656	9.1%
t	656	9.1%
C	655	9.1%
r	622	8.6%
d	622	8.6%
w	345	4.8%
E	345	4.8%
s	344	4.8%
Other values (4)	1277	17.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7212	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1000	13.9%
l	690	9.6%
e	656	9.1%
t	656	9.1%
C	655	9.1%
r	622	8.6%
d	622	8.6%
w	345	4.8%
E	345	4.8%
s	344	4.8%
Other values (4)	1277	17.7%

cogs
Real number (ℝ)

High correlation

Distinct	990
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	307.58738

Minimum	10.17
Maximum	993
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	10.17
5-th percentile	39.1145
Q1	118.4975
median	241.76
Q3	448.905
95-th percentile	783.33
Maximum	993
Range	982.83
Interquartile range (IQR)	330.4075

Descriptive statistics

Standard deviation	234.17651
Coefficient of variation (CV)	0.76133328
Kurtosis	-0.081884758
Mean	307.58738
Median Absolute Deviation (MAD)	150.175
Skewness	0.8925698
Sum	307587.38
Variance	54838.638
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
207.27	2	0.2%
789.6	2	0.2%
251.4	2	0.2%
206.52	2	0.2%
263.76	2	0.2%
180.09	2	0.2%
83.08	2	0.2%
167.54	2	0.2%
448.56	2	0.2%
89.28	2	0.2%
Other values (980)	980	98.0%

Value	Count	Frequency (%)
10.17	1	0.1%
12.09	1	0.1%
12.54	1	0.1%
12.78	1	0.1%
13.98	1	0.1%
15.34	1	0.1%
15.43	1	0.1%
15.5	1	0.1%
16.28	1	0.1%
17.75	1	0.1%

Value	Count	Frequency (%)
993	1	0.1%
989.8	1	0.1%
985.2	1	0.1%
975	1	0.1%
973.8	1	0.1%
973.7	1	0.1%
972.1	1	0.1%
955.8	1	0.1%
954.4	1	0.1%
906.5	1	0.1%

gross margin percentage
Categorical

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	66.5 KiB

4.761904762	1000

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	11000
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.761904762
2nd row	4.761904762
3rd row	4.761904762
4th row	4.761904762
5th row	4.761904762

Common Values

Value	Count	Frequency (%)
4.761904762	1000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.761904762	1000	100.0%

Most occurring characters

Value	Count	Frequency (%)
4	2000	18.2%
7	2000	18.2%
6	2000	18.2%
.	1000	9.1%
1	1000	9.1%
9	1000	9.1%
0	1000	9.1%
2	1000	9.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	2000	18.2%
7	2000	18.2%
6	2000	18.2%
.	1000	9.1%
1	1000	9.1%
9	1000	9.1%
0	1000	9.1%
2	1000	9.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	2000	18.2%
7	2000	18.2%
6	2000	18.2%
.	1000	9.1%
1	1000	9.1%
9	1000	9.1%
0	1000	9.1%
2	1000	9.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	2000	18.2%
7	2000	18.2%
6	2000	18.2%
.	1000	9.1%
1	1000	9.1%
9	1000	9.1%
0	1000	9.1%
2	1000	9.1%

gross income
Real number (ℝ)

High correlation

Distinct	990
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.379369

Minimum	0.5085
Maximum	49.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0.5085
5-th percentile	1.955725
Q1	5.924875
median	12.088
Q3	22.44525
95-th percentile	39.1665
Maximum	49.65
Range	49.1415
Interquartile range (IQR)	16.520375

Descriptive statistics

Standard deviation	11.708825
Coefficient of variation (CV)	0.76133328
Kurtosis	-0.081884758
Mean	15.379369
Median Absolute Deviation (MAD)	7.50875
Skewness	0.8925698
Sum	15379.369
Variance	137.09659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.3635	2	0.2%
39.48	2	0.2%
12.57	2	0.2%
10.326	2	0.2%
13.188	2	0.2%
9.0045	2	0.2%
4.154	2	0.2%
8.377	2	0.2%
22.428	2	0.2%
4.464	2	0.2%
Other values (980)	980	98.0%

Value	Count	Frequency (%)
0.5085	1	0.1%
0.6045	1	0.1%
0.627	1	0.1%
0.639	1	0.1%
0.699	1	0.1%
0.767	1	0.1%
0.7715	1	0.1%
0.775	1	0.1%
0.814	1	0.1%
0.8875	1	0.1%

Value	Count	Frequency (%)
49.65	1	0.1%
49.49	1	0.1%
49.26	1	0.1%
48.75	1	0.1%
48.69	1	0.1%
48.685	1	0.1%
48.605	1	0.1%
47.79	1	0.1%
47.72	1	0.1%
45.325	1	0.1%

Rating
Real number (ℝ)

Distinct	61
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.9727

Minimum	4
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	4
5-th percentile	4.295
Q1	5.5
median	7
Q3	8.5
95-th percentile	9.7
Maximum	10
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.7185803
Coefficient of variation (CV)	0.24647271
Kurtosis	-1.1515868
Mean	6.9727
Median Absolute Deviation (MAD)	1.5
Skewness	0.0090096488
Sum	6972.7
Variance	2.9535182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	26	2.6%
6.6	24	2.4%
9.5	22	2.2%
4.2	22	2.2%
5.1	21	2.1%
6.5	21	2.1%
8	21	2.1%
5	21	2.1%
6.2	21	2.1%
7.6	20	2.0%
Other values (51)	781	78.1%

Value	Count	Frequency (%)
4	11	1.1%
4.1	17	1.7%
4.2	22	2.2%
4.3	18	1.8%
4.4	17	1.7%
4.5	17	1.7%
4.6	8	0.8%
4.7	12	1.2%
4.8	13	1.3%
4.9	18	1.8%

Value	Count	Frequency (%)
10	5	0.5%
9.9	16	1.6%
9.8	19	1.9%
9.7	14	1.4%
9.6	17	1.7%
9.5	22	2.2%
9.4	12	1.2%
9.3	16	1.6%
9.2	16	1.6%
9.1	14	1.4%

	Branch	City	Customer type	Gender	Payment	Product line	Quantity	Rating	Sales	Unit price	cogs	gross income
Branch	1.000	1.000	0.000	0.032	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000
City	1.000	1.000	0.000	0.032	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000
Customer type	0.000	0.000	1.000	0.130	0.026	0.000	0.000	0.000	0.053	0.091	0.053	0.053
Gender	0.032	0.032	0.130	1.000	0.040	0.021	0.089	0.080	0.060	0.078	0.060	0.060
Payment	0.000	0.000	0.026	0.040	1.000	0.000	0.000	0.000	0.000	0.040	0.000	0.000
Product line	0.028	0.028	0.000	0.021	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000
Quantity	0.000	0.000	0.000	0.089	0.000	0.000	1.000	-0.015	0.735	0.011	0.735	0.735
Rating	0.000	0.000	0.000	0.080	0.000	0.000	-0.015	1.000	-0.017	-0.008	-0.017	-0.017
Sales	0.000	0.000	0.053	0.060	0.000	0.000	0.735	-0.017	1.000	0.630	1.000	1.000
Unit price	0.000	0.000	0.091	0.078	0.040	0.000	0.011	-0.008	0.630	1.000	0.630	0.630
cogs	0.000	0.000	0.053	0.060	0.000	0.000	0.735	-0.017	1.000	0.630	1.000	1.000
gross income	0.000	0.000	0.053	0.060	0.000	0.000	0.735	-0.017	1.000	0.630	1.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Invoice ID	Branch	City	Customer type	Gender	Product line	Unit price	Quantity	Sales	Date	Time	Payment	cogs	gross margin percentage	gross income	Rating
0	750-67-8428	Alex	Yangon	Member	Female	Health and beauty	74.69	7	548.9715	2019-05-01 00:00:00	13:08:00	Ewallet	522.83	4.761905	26.1415	9.1
1	226-31-3081	Giza	Naypyitaw	Normal	Female	Electronic accessories	15.28	5	80.2200	2019-08-03 00:00:00	10:29:00	Cash	76.40	4.761905	3.8200	9.6
2	631-41-3108	Alex	Yangon	Normal	Female	Home and lifestyle	46.33	7	340.5255	2019-03-03 00:00:00	13:23:00	Credit card	324.31	4.761905	16.2155	7.4
3	123-19-1176	Alex	Yangon	Member	Female	Health and beauty	58.22	8	489.0480	1/27/2019	20:33:00	Ewallet	465.76	4.761905	23.2880	8.4
4	373-73-7910	Alex	Yangon	Member	Female	Sports and travel	86.31	7	634.3785	2019-08-02 00:00:00	10:37:00	Ewallet	604.17	4.761905	30.2085	5.3
5	699-14-3026	Giza	Naypyitaw	Member	Female	Electronic accessories	85.39	7	627.6165	3/25/2019	18:30:00	Ewallet	597.73	4.761905	29.8865	4.1
6	355-53-5943	Alex	Yangon	Member	Female	Electronic accessories	68.84	6	433.6920	2/25/2019	14:36:00	Ewallet	413.04	4.761905	20.6520	5.8
7	315-22-5665	Giza	Naypyitaw	Member	Female	Home and lifestyle	73.56	10	772.3800	2/24/2019	11:38:00	Ewallet	735.60	4.761905	36.7800	8.0
8	665-32-9167	Alex	Yangon	Member	Female	Health and beauty	36.26	2	76.1460	2019-10-01 00:00:00	17:15:00	Credit card	72.52	4.761905	3.6260	7.2
9	692-92-5582	Cairo	Mandalay	Member	Female	Food and beverages	54.84	3	172.7460	2/20/2019	13:27:00	Credit card	164.52	4.761905	8.2260	5.9

	Invoice ID	Branch	City	Customer type	Gender	Product line	Unit price	Quantity	Sales	Date	Time	Payment	cogs	gross margin percentage	gross income	Rating
990	886-18-2897	Alex	Yangon	Normal	Female	Food and beverages	56.56	5	296.9400	3/22/2019	19:06:00	Credit card	282.80	4.761905	14.1400	4.5
991	602-16-6955	Cairo	Mandalay	Normal	Female	Sports and travel	76.60	10	804.3000	1/24/2019	18:10:00	Ewallet	766.00	4.761905	38.3000	6.0
992	745-74-0715	Alex	Yangon	Normal	Male	Electronic accessories	58.03	2	121.8630	2019-10-03 00:00:00	20:46:00	Ewallet	116.06	4.761905	5.8030	8.8
993	690-01-6631	Cairo	Mandalay	Normal	Male	Fashion accessories	17.49	10	183.6450	2/22/2019	18:35:00	Ewallet	174.90	4.761905	8.7450	6.6
994	652-49-6720	Giza	Naypyitaw	Member	Female	Electronic accessories	60.95	1	63.9975	2/18/2019	11:40:00	Ewallet	60.95	4.761905	3.0475	5.9
995	233-67-5758	Giza	Naypyitaw	Normal	Male	Health and beauty	40.35	1	42.3675	1/29/2019	13:46:00	Ewallet	40.35	4.761905	2.0175	6.2
996	303-96-2227	Cairo	Mandalay	Normal	Female	Home and lifestyle	97.38	10	1022.4900	2019-02-03 00:00:00	17:16:00	Ewallet	973.80	4.761905	48.6900	4.4
997	727-02-1313	Alex	Yangon	Member	Male	Food and beverages	31.84	1	33.4320	2019-09-02 00:00:00	13:22:00	Cash	31.84	4.761905	1.5920	7.7
998	347-56-2442	Alex	Yangon	Normal	Male	Home and lifestyle	65.82	1	69.1110	2/22/2019	15:33:00	Cash	65.82	4.761905	3.2910	4.1
999	849-09-3807	Alex	Yangon	Member	Female	Fashion accessories	88.34	7	649.2990	2/18/2019	13:28:00	Cash	618.38	4.761905	30.9190	6.6

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)